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Duration 14 hours
Course Outline
AI in Media: An Introduction
- Tracing the historical development of AI in content production
- Surveying current AI technologies applied in the media sector
Deep Learning & DeepFake Technology
- Grasping the fundamental principles of deep learning
- DeepFake creation: Examining tools, methods, and regulatory frameworks
Fundamentals of Voice Cloning
- Getting acquainted with voice cloning mechanisms
- Practical sessions focused on generating voice clones
Applications of Text-to-Speech (TTS) and Speech-to-Text (STT)
- Investigating the capabilities of TTS and STT systems
- Incorporating TTS and STT into creative workflows
AI-Powered Video Production
- Leveraging AI for the generation of video material
- Practical exercise: Producing a short video using AI generation
AI Resources for Content Creators
- Reviewing the landscape of available AI tools and their functionalities
- Workshop: Testing and comparing various AI platforms
Ethical Dimensions of AI in Media
- Analyzing the moral implications of AI-generated media
- Establishing best practices for the responsible deployment of AI in media
Applied Learning Sessions
- Examining real-world case studies and industry applications
- Collaborative group projects and peer feedback
- Capstone project: Crafting a comprehensive AI-driven media product
Recap and Future Directions
Requirements
- No previous background in AI or programming is necessary
- A curiosity about state-of-the-art technologies in media production
- An openness to discovering new tools and innovative creative methods
Target Audience
- Content creators aiming to integrate AI into their production workflows
- Entrepreneurs exploring AI's potential to drive business innovation
- Individuals interested in the ethical dimensions and creative scope of DeepFake technology